Lead Data Scientist
Location: GB, LND, London
Department: Development
Employment type: Full-time
Required experience: Mid-Senior level
Required education: Master's Degree
Industry: Internet
Function: Information Technology

Company profile:
Founded in 2010 by a team from Google’s London and New York offices, Qubit work with some of the biggest names in Online. Our engineers have built a brand new platform that combines a number of technologies – analytics, automation, personalisation and more – into a simple, easy-to-use product.We’re not the only ones excited about our brand new approach to solving the problems of modern e-Commerce. Wired magazine named Qubit as one of the top 5 hottest startups in London. We’ve raised $7.5 million in Series A funding from one of the UK’s biggest venture capitalists! Come and join the growing team as we embark on the most exciting chapter in Qubit’s history.Although we’ve now grown to more than 90 people, we’re keen on keeping our culture as relaxed and open as when there were only 5 of us. Our offices have table football, kitchen full of fruit and other snacks, never ending coffee supply, dinner service and lots of other startup perks. More importantly we’re a focused and determined team preparing to double in size during 2014!

Job description:
Qubit has a brand new platform that aims to personalize web sites based on predictive algorithms.  Our tools help companies serve personalized content to their website-users, targeted based on their behaviour. We’re looking for a Lead Data Scientist to help us develop those predictive algorithms, and conduct cutting-edge research into consumer behaviour on the web.This is an opportunity to conduct real R&amp;D into human behaviour using our enormous databases. Qubit’s data collection tools store more than 1 billion data points every day. That’s plenty of raw data for your Bayesian modeling, MCMC and Particle Filters.We’re looking for someone who straddles the academic and commercial worlds with experience of managing and mentoring small teams. As our Research Lead you’ll help to set the direction of our research team, working closely with other parts of the business to ensure our products have an edge when it comes to predicting online behaviour.What You’ll Be DoingYou won’t just be conducting pure research, but also will be helping us develop ideas into products.Building statistical models to understand consumer behaviour online.Carrying out predictive modeling of customer behaviours to help us better understand web personalization – when, why and which messages are served to different customers.Managing a small team of researchers, helping to direct their efforts and keep them focused on commercial research.

Requirements:
What We Are Looking ForA minimum of 8 – 10 years’ experience carrying out statistical modelling on very large datasets.Extensive commercial experience, you must be focused on real-world applications for your research.Education to Masters standard at a minimum, possession of a Doctorate in Statistics, Machine Learning or related fields are highly preferable.Strong experience with either Python, or R, with Python preferred. You must be able to run complex statistical analysis on large data sets.  Experience using either Hadoop, Hive or Pig is advantageous.Interest in and experience with modelling human or animal behaviour would be highly beneficial.Experienced with managing and mentoring small teams, you will need to be comfortable heading up a small team within the Engineering department.

Benefits:
Plenty of perksAs well as the opportunity to solve complex problems in this exciting new era of big data, here’s what we offer:Realistic performance related bonusesGenerous equity options mean you’ll own a piece of the pieExcellent health and dental insurance packagesA relaxed approach to time off and enough holidays to see several corners of the worldFridge fully stocked with healthy snacks and the ultimate espresso machine for your java fixA competitive office where we play foosball, football, scrabble, go-karting… you name it, we’ll play itThank Qubit it’s Friday – we have lots of creative ways to let off steam at the end of the weekPlenty of opportunities for training and development